What this category of data looks like
Urban commercial bank research report data mainly comes from regional credit analysis and small and micro enterprise financial service reports produced by internal business departments, as well as local financial operation briefings released by regulatory authorities and regional financial trend research from industry associations. Updates follow a monthly and quarterly rhythm, with temporary supplements aligned with the release of local economic policies. Document structures include modules such as regional economic fundamentals, bank credit allocation structure, peer business indicators, and risk warning prompts. Fields include allocation amount, interest rate range, number of served households, and more. Common units are ten thousand yuan, percentage, and monthly cycle.
Constraints on Workflow Orchestration
The regional targeting attribute of urban commercial bank research reports requires adding a region tag filtering node to the workflow, to only recall report content matching the corresponding operating region. The monthly and quarterly update rhythm requires configuring a scheduled trigger data source synchronization node, to ensure retrieval content stays synchronized with latest business data. The multi-module document structure requires configuring segmented parsing nodes in the workflow, to recall content separately by credit, risk, peer business and other modules, avoiding irrelevant content interfering with retrieval results. The large number of internal exclusive indicator fields requires configuring a custom field mapping node, to convert internal terminology in research reports into standardized retrieval keywords, improving retrieval accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | Top 3 | Urban commercial bank research reports focus on regional and bank-specific business. Excessive context dilutes core retrieval information |
Recall Count | Top 6 | The overall stock of urban commercial bank research reports is relatively limited. Excessive recall increases computational load and raises the proportion of irrelevant content |
Similarity Threshold | 0.75 | Filter cross-industry research reports, retain content strongly related to urban commercial bank regional credit and peer business |
Segment Length | 800–1200 characters | Match the average length of research report modules, avoid semantic fragmentation caused by overly long single segments |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Single research report contains multiple modules, parsing time is longer than general documents, so extend timeout period |
Scheduled Sync Interval | Once per month | Align with the monthly-dominated update rhythm of urban commercial bank research reports, ensure timeliness of retrieval data |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Setting
maxContextto 0 in the workflow, but retrieval results still include historical conversation context. Cause: The conversation context node is not correctly bound to the knowledge base retrieval node, resulting in historical session data not being filtered correctly. - Phenomenon: Embedded external page nodes in the workflow fail to load target pages normally. Cause: No allowed domain whitelist is configured, or the node trigger condition is not bound to the correct interactive trigger node.
- Phenomenon: In multi-turn conversations, subsequent questions directly use the knowledge base matched in the first round, without re-executing classification and retrieval logic. Cause: No conversation state reset node is added to the workflow. In version v4.8.10, the previous round's retrieval cache is retained by default, so old results continue without reset.
How to Confirm Proper Configuration
- Trigger a retrieval request with a specified region tag, verify that recalled results only include research report content from the corresponding operating region, confirming the region filtering node is active.
- Adjust the
similarity thresholdto different values, retrieve the same question, verify that the number and relevance of recalled results change as expected, confirming the threshold configuration is active. - Send two consecutive conversation requests, verify that the second round of retrieval does not reuse the first round's context and knowledge base matching results, confirming the conversation reset logic is active.
- View the data source synchronization log, verify that the update time of research report data matches the scheduled sync interval, confirming the synchronization configuration is active.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.